This submission includes 2 code examples of analyzing and visualizing earthquake data:
1) Creating an interactive map, reading the data from the web, and
2) Using datastore to process a large historical earthquake dataset, enabling results to be compared with a published model.
These files are companions to the MATLAB for Analyzing and Visualizing Geospatial Data webinar delivered on February 24, 2015. They include links to the data.
To watch the video of Loren running these code examples in MATLAB, view the IRIS-sponsored webinar: http://bit.ly/1B58VT4
Additional resources for learning more about analyzing and visualizing geospatial data with MATLAB:
* New features in MATLAB R2014b:
* New graphics system
* Date-time objects and computation
* datastore, for handling big tabular data
* webread, for accessing and interacting with external map data (with Mapping Toolbox):
* Parallel for-loops and GPU processing (with Parallel Computing Toolbox):
* Seismology-related community-developed code and resources (subset)
* GISMO Suite: http://geoscience-community-codes.github.io/GISMO/
* irisfetch: http://ds.iris.edu/ds/nodes/dmc/software/downloads/irisfetch.m/
Also see this blog post for more information:
* Teaching Computation in the Geosciences with MATLAB:
* MATLAB and add-ons product information
* What’s New in MATLAB Release 2014b? (with videos)
* Parallel Computing Toolbox product page
* Speeding up MATLAB Applications (webinar)
* Mapping Toolbox product page
* Intro to Geospatial Computing with MATLAB (webinar)
* Signal Processing Toolbox product page
* Signal Processing with MATLAB (webinar)
Loren Shure (2020). MATLAB® for Analyzing and Visualizing Geospatial Data (https://www.mathworks.com/matlabcentral/fileexchange/49813-matlab-for-analyzing-and-visualizing-geospatial-data), MATLAB Central File Exchange. Retrieved .
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